default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthieu Cord
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j49]Asya Grechka, Guillaume Couairon, Matthieu Cord:
GradPaint: Gradient-guided inpainting with diffusion models. Comput. Vis. Image Underst. 240: 103928 (2024)- [j48]Mustafa Shukor, Nicolas Thome
, Matthieu Cord:
Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Comput. Vis. Image Underst. 247: 104071 (2024) - [j47]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145: 109909 (2024) - [j46]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024) - [c168]Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski:
What Makes Multimodal In-Context Learning Work? CVPR Workshops 2024: 1539-1550 - [c167]Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CVPR 2024: 15195-15204 - [c166]Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning. ICLR 2024 - [c165]Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez:
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? ICRA 2024: 18428-18435 - [i114]Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek:
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs. CoRR abs/2403.13499 (2024) - [i113]Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi:
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction. CoRR abs/2403.15098 (2024) - [i112]Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord:
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR abs/2403.20105 (2024) - [i111]Hugo Caselles-Dupré, Charles Mellerio, Paul Hérent, Alizée Lopez-Persem, Benoit Béranger, Mathieu Soularue, Pierre Fautrel, Gauthier Vernier, Matthieu Cord:
Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI. CoRR abs/2404.05468 (2024) - [i110]Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski:
What Makes Multimodal In-Context Learning Work? CoRR abs/2404.15736 (2024) - [i109]Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh:
What matters when building vision-language models? CoRR abs/2405.02246 (2024) - [i108]Mustafa Shukor, Matthieu Cord:
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs. CoRR abs/2405.16700 (2024) - [i107]Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome:
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR abs/2406.02842 (2024) - [i106]Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord:
A Concept-Based Explainability Framework for Large Multimodal Models. CoRR abs/2406.08074 (2024) - [i105]Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord:
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR abs/2406.08113 (2024) - [i104]Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord:
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable. CoRR abs/2409.07830 (2024) - [i103]Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord:
Annealed Winner-Takes-All for Motion Forecasting. CoRR abs/2409.11172 (2024) - 2023
- [j45]Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. Comput. Vis. Image Underst. 227: 103601 (2023) - [j44]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3664-3676 (2023) - [j43]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5314-5321 (2023) - [j42]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [c164]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CVPR 2023: 3010-3020 - [c163]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CVPR 2023: 11701-11710 - [c162]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CVPR 2023: 15062-15071 - [c161]Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach:
Improving Selective Visual Question Answering by Learning from Your Peers. CVPR 2023: 24049-24059 - [c160]Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek:
Zero-shot spatial layout conditioning for text-to-image diffusion models. ICCV 2023: 2174-2183 - [c159]Mustafa Shukor, Corentin Dancette, Matthieu Cord:
eP-ALM: Efficient Perceptual Augmentation of Language Models. ICCV 2023: 21999-22012 - [c158]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) 2023: 3212-3221 - [c157]Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
DiffEdit: Diffusion-based semantic image editing with mask guidance. ICLR 2023 - [c156]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR 2023 - [c155]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML 2023: 28656-28679 - [c154]Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh:
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. NeurIPS 2023 - [c153]Alexandre Ramé, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord:
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. NeurIPS 2023 - [c152]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. NeurIPS 2023 - [c151]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV 2023: 3858-3867 - [i102]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR abs/2301.09858 (2023) - [i101]Mustafa Shukor, Corentin Dancette, Matthieu Cord:
eP-ALM: Efficient Perceptual Augmentation of Language Models. CoRR abs/2303.11403 (2023) - [i100]Alexandre Ramé, Guillaume Couairon, Mustafa Shukor, Corentin Dancette, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord:
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. CoRR abs/2306.04488 (2023) - [i99]Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach:
Improving Selective Visual Question Answering by Learning from Your Peers. CoRR abs/2306.08751 (2023) - [i98]Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez:
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. CoRR abs/2306.09281 (2023) - [i97]Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek:
Zero-shot spatial layout conditioning for text-to-image diffusion models. CoRR abs/2306.13754 (2023) - [i96]Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh:
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. CoRR abs/2306.16527 (2023) - [i95]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR abs/2307.09361 (2023) - [i94]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
Unified Model for Image, Video, Audio and Language Tasks. CoRR abs/2307.16184 (2023) - [i93]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR abs/2309.01575 (2023) - [i92]Asya Grechka, Guillaume Couairon, Matthieu Cord:
Gradpaint: Gradient-Guided Inpainting with Diffusion Models. CoRR abs/2309.09614 (2023) - [i91]Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning. CoRR abs/2310.00647 (2023) - [i90]Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny:
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR abs/2311.14542 (2023) - [i89]Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CoRR abs/2312.00703 (2023) - [i88]Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle:
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR abs/2312.06386 (2023) - [i87]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR abs/2312.09231 (2023) - [i86]Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Manipulating Trajectory Prediction with Backdoors. CoRR abs/2312.13863 (2023) - 2022
- [j41]Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges. Int. J. Comput. Vis. 130(10): 2425-2452 (2022) - [j40]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6043-6055 (2022) - [j39]Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123: 108421 (2022) - [j38]Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23(8): 11823-11835 (2022) - [c150]Mustafa Shukor, Guillaume Couairon, Matthieu Cord:
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. BMVC 2022: 353 - [c149]Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL 2022: 1663-1672 - [c148]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CVPR Workshops 2022: 2696-2700 - [c147]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops 2022: 3678-3686 - [c146]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2022: 3750-3759 - [c145]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CVPR Workshops 2022: 4408-4417 - [c144]Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord:
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CVPR Workshops 2022: 4566-4577 - [c143]Guillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk:
Embedding Arithmetic of Multimodal Queries for Image Retrieval. CVPR Workshops 2022: 4946-4954 - [c142]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR 2022: 9275-9285 - [c141]Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
FlexIT: Towards Flexible Semantic Image Translation. CVPR 2022: 18249-18258 - [c140]Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) 2022: 387-403 - [c139]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou:
Three Things Everyone Should Know About Vision Transformers. ECCV (24) 2022: 497-515 - [c138]Hugo Touvron, Matthieu Cord, Hervé Jégou:
DeiT III: Revenge of the ViT. ECCV (24) 2022: 516-533 - [c137]Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML 2022: 18347-18377 - [c136]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. ICPR 2022: 1280-1286 - [c135]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [c134]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS 2022 - [i85]Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
FlexIT: Towards Flexible Semantic Image Translation. CoRR abs/2203.04705 (2022) - [i84]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou:
Three things everyone should know about Vision Transformers. CoRR abs/2203.09795 (2022) - [i83]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR abs/2203.14642 (2022) - [i82]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. CoRR abs/2203.14645 (2022) - [i81]Hugo Touvron, Matthieu Cord, Hervé Jégou:
DeiT III: Revenge of the ViT. CoRR abs/2204.07118 (2022) - [i80]Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord:
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. CoRR abs/2204.09730 (2022) - [i79]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2204.11667 (2022) - [i78]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i77]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CoRR abs/2205.10139 (2022) - [i76]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. CoRR abs/2205.10158 (2022) - [i75]Corentin Dancette, Matthieu Cord:
Dynamic Query Selection for Fast Visual Perceiver. CoRR abs/2205.10873 (2022) - [i74]Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR abs/2206.13294 (2022) - [i73]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR abs/2207.04089 (2022) - [i72]Mustafa Shukor, Guillaume Couairon, Matthieu Cord:
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. CoRR abs/2208.13628 (2022) - [i71]Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord:
DiffEdit: Diffusion-based semantic image editing with mask guidance. CoRR abs/2210.11427 (2022) - [i70]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CoRR abs/2211.12380 (2022) - [i69]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CoRR abs/2211.13999 (2022) - [i68]Mustafa Shukor, Nicolas Thome, Matthieu Cord:
Structured Vision-Language Pretraining for Computational Cooking. CoRR abs/2212.04267 (2022) - [i67]Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. CoRR abs/2212.04884 (2022) - [i66]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. CoRR abs/2212.10445 (2022) - 2021
- [j37]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212: 103258 (2021) - [c133]Asya Grechka, Jean-François Goudou, Matthieu Cord:
MAGECally invert images for realistic editing. BMVC 2021: 93 - [c132]Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights From the Future for Continual Learning. CVPR Workshops 2021: 3482-3491 - [c131]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR 2021: 4040-4050 - [c130]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR 2021: 6830-6840 - [c129]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c128]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. ICCV 2021: 32-42 - [c127]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV 2021: 803-813 - [c126]Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. ICCV 2021: 854-864 - [c125]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV 2021: 1554-1563 - [c124]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [c123]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. ICLR 2021 - [c122]Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. ICML 2021: 10347-10357 - [c121]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS 2021: 20863-20873 - [c120]Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre:
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. NeurIPS 2021: 26005-26014 - [i65]Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of vision-based autonomous driving systems: Review and challenges. CoRR abs/2101.05307 (2021) - [i64]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. CoRR abs/2101.05544 (2021) - [i63]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. CoRR abs/2103.06132 (2021) - [i62]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. CoRR abs/2103.17239 (2021) - [i61]Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR abs/2104.03149 (2021) - [i60]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR abs/2105.03404 (2021) - [i59]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR abs/2105.14797 (2021) - [i58]Guillaume Le Moing